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Agent skills
ai-scientist

Topic: ai-scientist

199 skills in this topic.

sibyl-experimenter Sibyl 实验执行 agent - 编写代码并在远程 GPU 上执行实验
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-server-experimenter Sibyl 服务器端实验 agent - 在远程服务器上使用 Codex/Claude 本地执行实验
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-rebuttal-synthesizer Sibyl Rebuttal 综合者 agent - 整合团队输出为完整 rebuttal
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-methodologist Sibyl 方法论者 agent - 审查实验方法的内外部效度和可复现性
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-experiment-supervisor Sibyl 后台实验监督 agent - 持续刷新 GPU 空闲状态、动态派发排队实验、处理运行时间/状态漂移
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-novelty-checker Sibyl 新颖性检查 agent - 搜索文献验证 idea 是否与已有论文撞车
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-latex-writer Sibyl LaTeX 排版 agent - 将论文转为 NeurIPS LaTeX 格式并编译
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-rebuttal-strategist Sibyl Rebuttal 策略分析 agent - 解析 reviewer 评价、优先级排序、评估分数
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-innovator Sibyl 创新者 agent - 大胆的跨领域创新研究提案生成
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-result-synthesizer Sibyl 结果辩论综合者 agent - 综合6方结果分析形成统一判断和行动计划
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-lark-sync Sibyl 飞书同步 agent - 将研究数据同步到飞书云空间
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-sequential-writer Sibyl 顺序写作 agent - 按章节顺序写作，确保整体行文一致性
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-reflection Sibyl 反思 agent - 分析迭代产出，分类问题，生成改进计划
Sibyl-Research-Team/AutoResearch-SibylSystem 225
sibyl-idea-validation-decision Sibyl pilot 验证决策 agent - 根据小实验结果决定 ADVANCE / REFINE / PIVOT
Sibyl-Research-Team/AutoResearch-SibylSystem 225
paper-search Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc). Use when the user asks to find papers, search for research, look up academic literature, download a paper PDF, or extract text from a paper.
openags/paper-search-mcp 1,023
scholar-evaluation Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
K-Dense-AI/claude-scientific-skills 16,890
pdf Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
K-Dense-AI/claude-scientific-skills 16,890
adaptyv Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
K-Dense-AI/claude-scientific-skills 16,890
neuropixels-analysis Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.
K-Dense-AI/claude-scientific-skills 16,890
pptx Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
K-Dense-AI/claude-scientific-skills 16,890
gtars High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
K-Dense-AI/claude-scientific-skills 16,890
diffdock Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
K-Dense-AI/claude-scientific-skills 16,890
dask Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/claude-scientific-skills 16,890
bioservices Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
K-Dense-AI/claude-scientific-skills 16,890